Definition: Software Engineer interview questions cover three buckets — behavioural (your past experience), technical (your domain skills like Python, JavaScript, React), and situational (how you'd handle hypothetical scenarios). Strong answers use the STAR method.
Software engineer interviews in 2026 increasingly prioritize system design and AI integration over traditional algorithm problems, with 73% of FAANG companies now dedicating at least 30% of technical assessment time to production-scale architecture questions. You'll face deeper scrutiny on how you've handled scaling challenges, managed technical debt, and collaborated across teams—interviewers want to understand your decision-making process, not just your coding speed. The competency gap is real: many candidates ace LeetCode but stumble when asked to design a distributed cache or explain tradeoffs in a microservices migration. What sets apart strong candidates is their ability to articulate context, ask clarifying questions, and defend architectural choices with business impact in mind. Below you'll find curated interview questions organized by difficulty and domain, along with sample approaches used by engineers at top-tier companies, ready to guide your preparation.
Reading questions doesn't prepare you for the pressure of saying answers out loud. Interview Coach runs an 8-question mock interview, scores every answer with the STAR framework, and gives you feedback on what to say differently next time.
60–90 seconds per question is the sweet spot. Shorter feels rehearsed, longer loses the interviewer's attention. The STAR structure naturally hits this length.
Behavioural asks about a specific past event ("Tell me about a time…"). Competency-based asks about a general skill ("How do you approach…?"). Both want STAR-style structured answers.
Yes — using AI to generate likely questions, role-play responses, and get scored feedback is now standard prep. Just don't recite AI-generated answers verbatim; interviewers are increasingly trained to spot it.